Vicarious Surgical (RBOT) Total Current Liabilities (2020 - 2025)
Vicarious Surgical's Total Current Liabilities was $3.9 million in Q4 2025, down 49.1% from $7.67 million a year earlier but up 22.9% from the prior quarter.
Vicarious Surgical (RBOT) Total Current Liabilities (2020 - 2025) Analysis & Trends
From Q2 2020 onward, Vicarious Surgical has reported Total Current Liabilities for 23 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $7.67 million in FY2024 (+5.3%), $7.28 million in FY2023 (-13.3%), $8.39 million in FY2022 (+34.4%) and $6.25 million in FY2021 (+667.2%).
- Quarterly Total Current Liabilities has moved between $1.51 million (Q1 2021) and $11.68 million (Q3 2022) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for three straight quarters, with an average decline of 12.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 667.2%); the worst was Q3 2025 (a decline of 63.1%).
- Per Business Quant data, RBOT's Total Current Liabilities in the three quarters before Q4 2025 was $3.18 million (Q3 2025), $5.1 million (Q2 2025) and $7.86 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | 3.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 5.10 Mn |
| Mar 31, 2025 | 7.86 Mn |
| Dec 31, 2024 | 7.67 Mn |
| Sep 30, 2024 | 8.60 Mn |
| Jun 30, 2024 | 7.18 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 7.28 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 7.49 Mn |
| Mar 31, 2023 | 6.67 Mn |
| Dec 31, 2022 | 8.39 Mn |
| Sep 30, 2022 | 11.68 Mn |
| Jun 30, 2022 | 6.89 Mn |
| Mar 31, 2022 | 6.39 Mn |
| Dec 31, 2021 | 6.25 Mn |
| Sep 30, 2021 | 3.11 Mn |
| Jun 30, 2021 | 2.17 Mn |
| Mar 31, 2021 | 1.51 Mn |
Vicarious Surgical Total Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "RBOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();